Computational Intelligence based techniques for islanding detection of distributed generation in distribution network: A review

Laghari, J. A.; Mokhlis, Hazlie; Karimi, Mazaher; Bakar, Ab Halim Abu; Mohamad, Hasmaini

doi:10.1016/j.enconman.2014.08.024

Cited by 102 publications

(62 citation statements)

References 129 publications

(165 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There have been also some different approaches based on computational intelligence techniques on this subject recently [32]. Islanding protection using wavelet analysis and neuro-fuzzy system in inverter based distributed generation was researched into [16], and an adaptive ANN-controlled was proposed into [25] to reduce the NDZ consisting in passive islanding detection methods.…”

Section: A Short Discussion Of Previous Workmentioning

confidence: 99%

See 1 more Smart Citation

A remote islanding detection and control strategy for photovoltaic-based distributed generation systems

Bayrak

2015

Energy Conversion and Management

View full text Add to dashboard Cite

Section: A Short Discussion Of Previous Workmentioning

confidence: 99%

“…Variable impedance insertion [30] and droop control [31] methods also offer different solutions to the subject. There have been a few FPGA-based islanding detection studies in recent years [32], but these studies present only particular, not general solutions to the problem.…”

Section: A Short Discussion Of Previous Workmentioning

confidence: 99%

A remote islanding detection and control strategy for photovoltaic-based distributed generation systems

Bayrak

2015

Energy Conversion and Management

View full text Add to dashboard Cite

“…The basic mechanism search of ABC is well presented in figure 2 [8] where a) Initial situation, b) Final situation. In the initialization stage of the ABC algorithm, it creates a randomly distributed initial population of solutions (f = 1, 2... E b ), where f signifies the size of population and E b is the number of employed bees [9].…”

Section: The Nature Of Beesmentioning

confidence: 99%

Power Optimization and Prioritization in an Island Supplied by a Rotating Machine Based Distributed Generator Using Artificial Bee Colony Algorithm

Mogaka

Murage²,

Saulo

2016

IJEPE

View full text Add to dashboard Cite

Abstract:Currently the greatest threat to the power systems reliability and security is the cascading of electric system failures thus causing power blackouts. For quite some time now, the world has been encountering many power blackouts as a result of these cascading failures. The cascading power failure instances pose great risks towards the integrity of power system network. This may finally lead to the splitting of the power system into various small unintentional islands. Hence, intentional or controlled islanding is then utilized as a preventive measure to mitigate the losses caused by unintentional islanding of the power system. Thus, by doing this, the entire power system is split into controlled island regions for the purposes of easy handling and control. In such situation, each islanded region should have sufficient generation to supply its connected loads in order to remain operative and stable. It should also be pointed out that intentional islanding is very important as it can prevent the entire power system from collapsing. The distributed generators supplying the loads in these islands may not be able to maintain the voltage and frequency within desired limits in the distribution system when it is islanded within the micro grid. There may be a power deficit within the island. This eventually leads to shedding of some loads within the island for the sake of stability of the system. Hence the main challenge here is to determine the appropriate and reliable method to optimize the power supply and the load demand in the island and thus maintain the voltage and frequency within the desired limit. In this study we focused on the determination of the minimum load amount for shedding within the islanded region and the prioritization of the buses for shedding so that electricity supply to customers could be maximized using ABC algorithm. From the results obtained, the ABC algorithm can be successfully applied for solving the optimization and prioritization problems within the island being supplied by a DG. The ABC algorithm has several merits over other algorithms which makes it suitable in this application. These advantages include; it is easily implemented, flexible, has few control parameters, easily hybridized with other optimization algorithms and can be modified very easily to suit any application. This system was simulated in MATLAB and SIMULINK using IEEE fourteen bus systems.

show abstract

“…Some recent tutorials have been focused on important RE applications (e.g., wind prediction, solar radiation prediction) using ML approaches [7,8]. Sub-families of algorithms, such as evolutionary computation, neural computation or fuzzy logic approaches, have been also the objective of previous reviews [9,10], which are very useful for researchers or practitioners interested in each specific field. Following this latter trend, this paper is focused on an important specific branch of ML: classification problems and classification algorithms and how these problems arise in different RE applications.…”

Section: Introductionmentioning

confidence: 99%

A Review of Classification Problems and Algorithms in Renewable Energy Applications

et al. 2016

View full text Add to dashboard Cite

Classification problems and their corresponding solving approaches constitute one of the fields of machine learning. The application of classification schemes in Renewable Energy (RE) has gained significant attention in the last few years, contributing to the deployment, management and optimization of RE systems. The main objective of this paper is to review the most important classification algorithms applied to RE problems, including both classical and novel algorithms. The paper also provides a comprehensive literature review and discussion on different classification techniques in specific RE problems, including wind speed/power prediction, fault diagnosis in RE systems, power quality disturbance classification and other applications in alternative RE systems. In this way, the paper describes classification techniques and metrics applied to RE problems, thus being useful both for researchers dealing with this kind of problem and for practitioners of the field.

show abstract

Computational Intelligence based techniques for islanding detection of distributed generation in distribution network: A review

Cited by 102 publications

References 129 publications

A remote islanding detection and control strategy for photovoltaic-based distributed generation systems

A remote islanding detection and control strategy for photovoltaic-based distributed generation systems

Power Optimization and Prioritization in an Island Supplied by a Rotating Machine Based Distributed Generator Using Artificial Bee Colony Algorithm

A Review of Classification Problems and Algorithms in Renewable Energy Applications

Contact Info

Product

Resources

About